Instructions to use Jeevesh8/bert_ft_cola-31 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-31 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-31")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-31") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-31") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 022276435ce2142f2f99e52c2a2393490f2f5400be2ad327e60caebea14dd2ba
- Size of remote file:
- 438 MB
- SHA256:
- 3f9bdad0149a27a4ec543c0bf343a7fbed4fec8fc13936b150ae9081f97931ea
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